Shreyan Ganguly

This publication record spans an unusually wide range of topics, including theoretical quantum chemistry (mathematical methods for describing how quantum systems evolve over time, such as the Magnus and Fer expansions), deepfake and forgery detection in images/video, plant leaf image classification, time series statistics, cloud classification from satellite imagery, and more recent work applying vision-language AI models to microscopy and robotics. Because the topics are so varied, it is unclear whether this represents one individual working across many collaborations or a name shared by multiple researchers; prospective students should verify authorship details directly. The work generally sits at the intersection of computational/mathematical methods and applied data analysis across chemistry, physics, and machine learning.

Publication output has been irregular over the last decade, with gaps in some years followed by bursts of activity (e.g., 2022, 2023, 2025), averaging under 3 papers per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026